490M
Domains monitored
Infrastructure Intelligence
Domains, DNS, infrastructure, certificates, relationships and risk delivered as reports, APIs and cloud-native data shares. Built for technical teams that want to evaluate the data quickly and move from sample to production without heavy integration work.
Coverage
Live catalogue metadata from Datazag's production snapshots. Updated 16:13 UTC.
490M
Domains monitored
10.5M
IPs linked to domains
79k
Networks profiled
Live
Certificate monitoring
Hourly
Priority refresh
00:00 UTC
Latest snapshot
What do you collect?
The public page does not expose the full 100+ field schema. It shows enough for a technical buyer to decide whether the data is worth testing.
How is it built?
Datazag is not a repackaged threat feed. We continuously observe internet infrastructure, expand what we find, build relationships, compare history and generate evidence-backed intelligence.
External reputation and abuse signals are used only as supporting validation where appropriate. They are not the primary source of detection and are not exposed as feed-membership flags in datasets.
Internet observations
We observe domains, DNS, certificates, routing and platform signals as the internet changes.
Infrastructure expansion
A single domain is expanded into its IPs, providers, certificates, routing context and surrounding infrastructure.
Platform identification
We classify cloud, hosting, CDN, DNS, email and SaaS platforms using infrastructure evidence.
Relationship analysis
Shared infrastructure exposes clusters, campaigns and connected assets that isolated indicators miss.
Historical comparison
Snapshots and deltas show what changed, when it changed and whether the pattern is unusual.
Evidence generation
Scores are supported by reason codes, confidence and observable evidence rather than opaque labels.
Ready-made datasets
You can consume broad Infrastructure Intelligence, but most teams start with a curated view that exposes the fields they need and keeps SQL simple.
Email validation, customer onboarding, CRM and marketing data cleaning.
SIEM enrichment, NetFlow, asset inventory, labelling and analytics.
Threat hunting, brand protection, fraud monitoring and early detection.
SOC investigation, CTI, incident response and evidence packs.
Enterprise security, M&A, cyber insurance, supplier and client estate review.
We can publish curated data views that combine multiple intelligence products into one table tailored to your workflow. This is a paid option for teams that want fewer columns, simpler SQL and only the data they need.
Ready to JOIN
Other vendors hand you raw attributes and leave interpretation to your team. Datazag returns infrastructure context, provider labels, relationships, risk and reason codes in one join.
SELECT
logs.domain,
dz.risk_score,
dz.hosting_provider,
dz.mailbox_provider,
dz.primary_asn,
dz.related_domain_count,
dz.reason_codes
FROM dns_logs logs
LEFT JOIN datazag.infrastructure_intelligence dz
ON logs.domain = dz.domain
WHERE dz.risk_score >= 80;DNS, certificates, provider, network and history are already joined.
Designed for SQL, SIEM enrichment, analytics and ML workflows.
Find the campaign, not just the domain.
Risk comes with reasons, evidence and confidence.
See how infrastructure changed over time.
Iceberg and Delta shares support time travel and incremental processing.
Access
Start with a report or API sample, then move to alerts or full cloud data shares when you are ready to operationalise.
We analyse it for you
Executive and technical reports for domains, portfolios, suppliers and client estates.
Start with a report →We notify you
Platform, keyword and brand impersonation alerts delivered through portal, webhook or workflow integrations.
View alert products →You enrich in real time
Cached lookups, live refresh and build-on-demand enrichment for products, fraud systems and SIEM pipelines.
See API pricing →You analyse everything
Native Iceberg and Delta datasets with flat-rate access, time travel, incremental updates and SQL-ready joins.
View data shares →Supported delivery
Sources and cadence
Infrastructure Intelligence is built from observation, expansion and analysis. Supporting reputation signals are used for validation, not as the core product.
Evaluate
The goal is simple: let a technical buyer spend 15 minutes deciding whether Datazag is useful. Start with the route that fits your evaluation style.
Inspect the fields and decide whether the data fits your workflow.
Start hereTry a small sample before committing to a full data share.
Start hereUse credits for real-time lookup, enrichment and live refresh.
Start hereFlat-rate datasets for analytics, hunting and modelling.
Start here